About
What is Langtrace.ai?
Langtrace is an open-source observability and evaluations platform designed for AI agents, enabling the transformation of AI prototypes into enterprise-grade products. It offers a simple, non-intrusive setup with SDKs for Python and TypeScript, supporting frameworks like CrewAI, DSPy, LlamaIndex, and Langchain. Users can track vital metrics such as token usage, cost, and latency, and explore API requests with automatically traced GenAI stacks. The platform also provides evaluation capabilities to measure baseline performance, curate datasets, and offers prompt version control for managing and comparing different prompt versions. Langtrace emphasizes enterprise-grade security, is SOC2 Type II certified, and is proudly open source, allowing for customization and community contributions.
Best used for
Ideal for developers and data scientists who need to monitor the performance of their AI agents, evaluate LLM application effectiveness, and manage prompt versions. Especially valuable for teams looking to transform AI prototypes into secure, enterprise-grade products with an open-source solution.
Common actions
AI application monitoringAI performance evaluationLLM observability
Capabilities
Key features
- Observability for AI Agents
- Evaluations for AI Agents
- Prompt Version Control
- Track Token Usage
- Monitor Inference Latency
- Explore API Requests
- Open Source SDK
Target Audience
developerdata scientistproduct managerstartup founder
Integrations
crewaidspyllamaindexlangchain
Pricing & Plans
Freemium ยท Paid ยท Enterprise ยท Open Source
FAQs
What AI frameworks does Langtrace support?
Langtrace supports popular AI frameworks including CrewAI, DSPy, LlamaIndex, and Langchain. It also offers out-of-the-box support for a wide range of LLM providers and VectorDBs, making it versatile for various AI development needs.
Is Langtrace an open-source platform?
Yes, Langtrace is proudly open source. Its source code is fully accessible on GitHub, allowing users to explore, review, customize, and contribute to its development, fostering innovation and trust within the community.
What metrics can I track with Langtrace?
Langtrace allows you to track vital metrics for your AI applications, including token usage, cost, and inference latency. It provides dashboards to visualize these metrics and helps in evaluating accuracies to optimize performance.